101 to 125 of 503 AWS Jobs in the City of London

microservices architecture, gRPC/REST services, and database design (PostgreSQL, Redis). Frontend proficiency with React/Next.js, responsive design, and modern JavaScript/TypeScript Cloud infrastructure knowledge including AWS services, CI/CD pipelines, and DevOps practices. System architecture experience designing scalable, maintainable applications from ground up. Experience in building scalable maintainable low latency SaaS products. A track record More ❯

microservices architecture, gRPC/REST services, and database design (PostgreSQL, Redis). Frontend proficiency with React/Next.js, responsive design, and modern JavaScript/TypeScript Cloud infrastructure knowledge including AWS services, CI/CD pipelines, and DevOps practices. System architecture experience designing scalable, maintainable applications from ground up. Experience in building scalable maintainable low latency SaaS products. A track record More ❯

Symfony, or equivalent frameworks You’ll bring: Solid understanding of event-driven architecture and CQRS Experience working on high availability , high throughput platforms (ideally OLTP) Strong working knowledge of AWS services such as Aurora, MSK Kafka, ECS, and EMR A track record of building efficient, scalable database queries in MySQL and working with multiple data paradigms (RDBMS, Document, KV Stores More ❯

Symfony, or equivalent frameworks You’ll bring: Solid understanding of event-driven architecture and CQRS Experience working on high availability , high throughput platforms (ideally OLTP) Strong working knowledge of AWS services such as Aurora, MSK Kafka, ECS, and EMR A track record of building efficient, scalable database queries in MySQL and working with multiple data paradigms (RDBMS, Document, KV Stores More ❯

from senior team members and contribute to continuous improvement of model delivery practices. Required Skills & Experience Solid Python engineering background with some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience with or willingness to learn More ❯

from senior team members and contribute to continuous improvement of model delivery practices. Required Skills & Experience Solid Python engineering background with some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience with or willingness to learn More ❯

attitude with a strong sense of ownership and accountability Sufficient technical understanding to engage effectively with engineering teams and understand technical challenges and dependencies. Familiarity with IoT, cloud platforms (AWS, Azure, GCP), and data integration. Experience with Azure DevOps, Jira suite and/or other collaboration platforms is desirable. Knowledge of the EV charging industry is desirable. Qualifications and Certifications More ❯

attitude with a strong sense of ownership and accountability Sufficient technical understanding to engage effectively with engineering teams and understand technical challenges and dependencies. Familiarity with IoT, cloud platforms (AWS, Azure, GCP), and data integration. Experience with Azure DevOps, Jira suite and/or other collaboration platforms is desirable. Knowledge of the EV charging industry is desirable. Qualifications and Certifications More ❯

data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency with Linux environments. Knowledge of time-series analysis is a strong plus. More ❯

data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency with Linux environments. Knowledge of time-series analysis is a strong plus. More ❯

class - 2;1 Degree in Comp Sci or STEM subject from a Top ranked University 3+ years of experience in Python development Tech: Python, FastAPI, Pydantic, PostgreSQL, Numpy, Pandas, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

class - 2;1 Degree in Comp Sci or STEM subject from a Top ranked University 3+ years of experience in Python development Tech: Python, FastAPI, Pydantic, PostgreSQL, Numpy, Pandas, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

This person must have experience building ML Infrastructure and cloud architecture from scratch Key Details: Salary: £100k–£130k (flexible for strong profiles) Working Model: On-site, London Tech Stack: AWS/GCP/Azure, Kubernetes, Docker, Terraform, Python, MLflow/Prometheus/Grafana If you want to shape the backbone of one of Europe’s most ambitious AI startups, we More ❯

work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus More ❯

latency trading environments. Ability to thrive under pressure in a fast-moving, high-stakes setting. Nice to Have: Experience with infrastructure-as-code and cloud-native tools (e.g., Kubernetes, AWS, Terraform). Background in low-level programming (e.g., C/C++, Rust) or functional languages (e.g., Q/KDB+, Haskell). Understanding of hardware acceleration techniques including FPGA and RDMA. More ❯

work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus More ❯

latency trading environments. Ability to thrive under pressure in a fast-moving, high-stakes setting. Nice to Have: Experience with infrastructure-as-code and cloud-native tools (e.g., Kubernetes, AWS, Terraform). Background in low-level programming (e.g., C/C++, Rust) or functional languages (e.g., Q/KDB+, Haskell). Understanding of hardware acceleration techniques including FPGA and RDMA. More ❯

Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies (e.g., Docker, Kubernetes). Collaboration & Communication: Strong collaboration and communication skills to work effectively with cross-functional teams and articulate technical concepts to non-technical More ❯

Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies (e.g., Docker, Kubernetes). Collaboration & Communication: Strong collaboration and communication skills to work effectively with cross-functional teams and articulate technical concepts to non-technical More ❯

Senior Software Engineer Key Technologies: C#, .NET, React, AWS, Docker, Kubernetes City of London, United Kingdom Perm Role: £80,000 - £120,000 Harrington Starr has partnered with a Global Financial Services Vendor and they are looking for a Senior C#, .NET Software Engineer to join their growing team! This role provides the perfect opportunity to launch your career in a More ❯

containerization and deployment practices (ideally Kubernetes). Understanding of responsive design, accessibility, and cross-browser compatibility. Degree in Computer Science (or equivalent experience). Nice to Have Experience with AWS services (RDS, ECS, Lambda, CloudFront). Contributions to open-source or a strong portfolio of projects. Previous startup or fast-paced product development experience. Interest in AI/ML and More ❯

Cucumber , and BDD practices. Proven experience in CI/CD automation using Jenkins . Performance testing skills with JMeter . Experience in testing APIs (REST/SOAP) and microservices. AWS knowledge and SQL/database experience. A collaborative, detail-focused, and proactive approach to problem-solving. This is a great time to join an exciting company and work on impactful More ❯

containerization and deployment practices (ideally Kubernetes). Understanding of responsive design, accessibility, and cross-browser compatibility. Degree in Computer Science (or equivalent experience). Nice to Have Experience with AWS services (RDS, ECS, Lambda, CloudFront). Contributions to open-source or a strong portfolio of projects. Previous startup or fast-paced product development experience. Interest in AI/ML and More ❯

Cucumber , and BDD practices. Proven experience in CI/CD automation using Jenkins . Performance testing skills with JMeter . Experience in testing APIs (REST/SOAP) and microservices. AWS knowledge and SQL/database experience. A collaborative, detail-focused, and proactive approach to problem-solving. This is a great time to join an exciting company and work on impactful More ❯

analysing system logs, monitoring performance metrics, and proactively resolving issues Organised, methodical, and able to produce high-quality technical documentation and troubleshooting guides Familiarity with cloud platforms such as AWS or hybrid cloud deployment (Preferred) Experience supporting Linux systems within financial services, trading, or other regulated, performance-driven industries (Preferred) Exposure to ZFS file systems ... More ❯